English(EN) Continuous Horizon Forecasting

新的连续视界策略提高了多视界预测的准确性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

研究人员推出了一种新颖的连续视界（CH）策略，用于多视界预测，该策略概括了现有的离散预测方法。这种新方法将预测重新定义为一个连续算子，并将预测视界定义为一个查询变量，而不是一个固定索引。该策略得到了理论基础的支持，包括一个通用算子逼近定理和一个连续视界偏差-方差分解，这些都证明了相比离散方法，其估计方差有所提高。在16个大型数据集上的M系列基准测试的实证验证表明，CH在实现并行推理、目标视界查询以及跨越未见视界的插值/外插的同时，实现了具有竞争力的RMSE准确性。 AI

影响这种新的预测策略有望提高跨各种应用的时间序列预测的准确性和灵活性。

排序理由该项目是一篇学术论文，详细介绍了一种机器学习的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Malcolm Wolff, Elliott Zackrone, Souhaib Ben Taieb, Michael W. Mahoney, Kin G. Olivares · 2026-11-11 05:00

连续视界预测

arXiv:2611.13228v1 Announce Type: cross Abstract: Multi-horizon forecasting has been dominated by discrete forecast strategies that treat model outputs as fixed-vectors or recurrently create them. In this paper, we introduce the Continuous Horizon (CH) strategy that generalizes u…

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连续视界预测

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